Found 1363 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

An image- and BET-based Monte-Carlo approach to determine mineral accessible surface areas in sandstones

Most importantly, the introduction of an SF, obtained by probability mapping, using a Monte-Carlo algorithm, accounts for mineral surface roughness variations, provided by the BET measurements during the determination of the image-based ASAs. Expand abstract.
2 days ago
10/10 relevant
EarthArXiv

A Non-Orthogonal Variational Quantum Eigensolver

Variational algorithms for strongly correlated chemical and materials systems are one of the most promising applications of near-term quantum computers. Expand abstract.
4 days ago
4/10 relevant
arXiv

ELMAG 3.01: A three-dimensional Monte Carlo simulation of electromagnetic cascades on the extragalactic background light and in magnetic fields

The version 3.01 of ELMAG, a Monte Carlo program for the simulation of electromagnetic cascades initiated by high-energy photons and electrons interacting with extragalactic background light (EBL), is presented. Expand abstract.
4 days ago
10/10 relevant
arXiv

Collective sampling through a Metropolis-Hastings like method: kinetic theory and numerical experiments

Following the ideas of Population Monte Carlo methods, we propose to take advantage of the number of duplicates to increase the efficiency of the naive approach. Expand abstract.
5 days ago
5/10 relevant
arXiv

Generating Data using Monte Carlo Dropout

In this work, we propose the incorporation of Monte Carlo Dropout method within Autoencoder (MCD-AE) and Variational Autoencoder (MCD-VAE) as efficient generators of synthetic data sets. Expand abstract.
11 days ago
10/10 relevant
arXiv

Monte Carlo Approximation of Bayes Factors via Mixing with Surrogate Distributions

In addition, several extensions are discussed, including (1) a parallel variant, which inserts a sequence of intermediate distributions between the posterior distribution and the surrogate distribution, to further improve the efficiency of the proposed method; (2) the use of the surrogate distribution to help detect potential multimodality of the posterior... Expand abstract.
11 days ago
7/10 relevant
arXiv

GRASP: a Bayesian network structure learning method using adaptive sequential Monte Carlo

In this study, we present a sequential Monte Carlo (SMC) based three-stage approach, GRowth-based Approach with Staged Pruning (GRASP). Expand abstract.
11 days ago
10/10 relevant
bioRxiv

Boltzmann machine learning and regularization methods for inferring evolutionary fields and couplings from a multiple sequence alignment

The inverse Potts problem to infer the Boltzmann distribution for homologous protein sequences from their single-site and pairwise frequencies recently attracts a great deal of attention due to its capacity to accurately predict residue-residue contacts in a 3D protein complex. Expand abstract.
13 days ago
4/10 relevant
arXiv

Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults

The Monte Carlo dropout method has proved to be a scalable and easy-to-use approach for estimating the uncertainty of deep neural network predictions. Expand abstract.
14 days ago
10/10 relevant
arXiv

Bayesian elastic Full-Waveform Inversion using Hamiltonian Monte Carlo

For both end members, the Hamiltonian Monte Carlo sampling reliably recovers important aspects of the posterior, including means, covariances, skewness, as well as 1-D and 2-D marginals. Expand abstract.
14 days ago
10/10 relevant
EarthArXiv